IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization | Paper Citation Record

Observation 299ab545-9dd4-4b53-b49e-3bb397853bcf · outbound

This paper cites Inconspicuous adversarial patches for fooling image-recognition systems on mobile devices.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Inconspicuous adversarial patches for fooling image-recognition systems on mobile devices

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.918332Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6af8c1df-4221-4e5c-ad27-4926969925e4 · outbound

This paper cites Adversarial Patch.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Adversarial Patch

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.096629Z

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Observation 85693d5e-b752-471a-b3bd-d679fa0cdd10 · outbound

This paper cites Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.908197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0bc6b3b-2dd6-44cd-a702-29f6f9cd2065 · outbound

This paper cites Towards evaluating the robustness of neural networks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Towards evaluating the robustness of neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.897193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae8aaa8c-7bdf-4202-9fb7-b2911ac64997 · outbound

This paper cites Jujutsu: A two-stage defense against adversarial patch attacks on deep neural networks, 2022.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Jujutsu: A two-stage defense against adversarial patch attacks on deep neural networks, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.885334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f59faa7-3aca-4d59-b7d9-f3d011649801 · outbound

This paper cites Sparse and imperceiv- able adversarial attacks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Sparse and imperceiv- able adversarial attacks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.875151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35aad53c-ce37-460b-bac1-c750abf35f3a · outbound

This paper cites Diffusion models beat gans on image synthesis.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Diffusion models beat gans on image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.865794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 770eb60e-4077-4148-91a9-e5def99783c4 · outbound

This paper cites Perceptual quality metrics applied to still image compression.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Perceptual quality metrics applied to still image compression

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.855357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a13257ea-773b-4d09-adc0-c6bdffd67d6e · outbound

This paper cites Robust physical-world attacks on deep learning visual classification.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Robust physical-world attacks on deep learning visual classification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.844160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25de0660-82d6-4d56-8153-9a1a06da10d4 · outbound

This paper cites DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:02:05.444597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 967abd3d-f578-4ec7-9a85-0cae36515b7c · outbound

This paper cites Wichmann, and Wieland Brendel.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Wichmann, and Wieland Brendel

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.129316Z

Source-reported events for the cited work

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Observation f9ef3337-8950-4b3c-9adc-62993a6b87cd · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Explaining and Harnessing Adversarial Examples

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.132750Z

Source-reported events for the cited work

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Observation 4786e2a1-2d30-4d7a-bcb2-acee2a3c1c5f · outbound

This paper cites Unravelling robustness of deep learning based face recognition against adversarial attacks,.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Unravelling robustness of deep learning based face recognition against adversarial attacks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.825439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2338ec8-a17c-484c-b006-4bf8259e17eb · outbound

This paper cites On visible adversarial perturbations & digital watermarking.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization On visible adversarial perturbations & digital watermarking

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.814904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66a9de09-e542-4cbe-b864-bf9d86bc4038 · outbound

This paper cites Deep residual learning for image recognition.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Deep residual learning for image recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.804253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3f5c767-0e04-458a-85ea-1c0dd0710cfb · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.146699Z

Source-reported events for the cited work

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Observation 47bba56d-9829-4106-97ce-f13f8f00a064 · outbound

This paper cites Denoising diffu- sion probabilistic models.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Denoising diffu- sion probabilistic models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.793798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 708f49fc-74e0-41bd-b04f-037451ceade5 · outbound

This paper cites Human imperceptible attacks and applications to improve fairness, 2021.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Human imperceptible attacks and applications to improve fairness, 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.783508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bf0fdf1-7b13-4979-a66c-b91cbb24abdd · outbound

This paper cites Black-box adversarial attacks with limited queries and information, 2018.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Black-box adversarial attacks with limited queries and information, 2018

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.773345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02e2868b-1d8a-42a9-a199-ae7cb21a6b48 · outbound

This paper cites Diffender: Diffusion-based adversarial defense against patch attacks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Diffender: Diffusion-based adversarial defense against patch attacks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.762770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d449fe56-ebb4-40d4-b508-4eb100ba3bd6 · outbound

This paper cites Lavan: Localized and visible adversarial noise.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Lavan: Localized and visible adversarial noise

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.751908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a17c12f-97b0-47a2-82af-7d07f9f5245f · outbound

This paper cites Advhat: Real- world adversarial attack on arcface face id system.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Advhat: Real- world adversarial attack on arcface face id system

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.740415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 718b978a-7a64-4152-89a2-3ca6f209a2de · outbound

This paper cites Super-resolution of sentinel-2 images: Learning a globally applicable deep neu- ral network.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Super-resolution of sentinel-2 images: Learning a globally applicable deep neu- ral network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.730070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25e07283-ddc1-4be7-9e40-fb24db658449 · outbound

This paper cites Generative Dynamic Patch Attack.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Generative Dynamic Patch Attack

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:02:05.410546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9aa57581-6e9b-4607-a0a9-989727cfb249 · outbound

This paper cites an unresolved cited work.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:02:05.718918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 214276aa-e2fc-454f-8ef6-fd406cf37938 · outbound

This paper cites Perceptual-sensitive gan for generating adversarial patches.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Perceptual-sensitive gan for generating adversarial patches

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.707736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c91745b-6ea1-4887-bbcf-e13d5230ea43 · outbound

This paper cites Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.695591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a6c1c1b-9d57-4c96-a075-6c20ba31a3df · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Swin transformer: Hierarchical vision transformer using shifted windows

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.683587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e39d81c6-ed70-4879-b6b0-8791fdeba67b · outbound

This paper cites Towards imperceptible and robust adversarial example attacks against 9 neural networks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Towards imperceptible and robust adversarial example attacks against 9 neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.672104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2aab3dc0-2051-4dbd-9ae3-f43914e6b323 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.195978Z

Source-reported events for the cited work

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Observation 1e5c525d-739b-4adb-ae29-dfc23fa4a80d · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Deepfool: a simple and accurate method to fool deep neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.660317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93e9ea78-aeb4-4a1d-a198-6113cc7184c0 · outbound

This paper cites Face Recognition as a Method of Authentication in a Web-Based System.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Face Recognition as a Method of Authentication in a Web-Based System

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:02:05.385165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f6e5f53-11b8-4f5d-92d2-8c411da88933 · outbound

This paper cites Diffusion models for adver- sarial purification, 2022.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Diffusion models for adver- sarial purification, 2022

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.649317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be6733dc-537a-4b1c-8f92-3492e02daf89 · outbound

This paper cites Parkhi, Andrea Vedaldi, and Andrew Zisserman.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Parkhi, Andrea Vedaldi, and Andrew Zisserman

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.638192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ac3e957-5ef1-41ad-879c-6a94951ce284 · outbound

This paper cites Visually Imperceptible Adversarial Patch Attacks on Digital Images.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Visually Imperceptible Adversarial Patch Attacks on Digital Images

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:02:05.369809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 92e96646-0315-4f22-babe-dd14a87bb251 · outbound

This paper cites Berg, and Li Fei-Fei.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Berg, and Li Fei-Fei

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.218232Z

Source-reported events for the cited work

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Observation 3fa15ba9-d27a-43b6-ac83-42b0da465843 · outbound

This paper cites Defense-gan: Protecting classifiers against adversarial attacks using generative models, 2018.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Defense-gan: Protecting classifiers against adversarial attacks using generative models, 2018

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.621102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e0e8cb8-7742-4664-8fa0-782e3ca09cf5 · outbound

This paper cites Grad- cam: Visual explanations from deep networks via gradient- based localization.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Grad- cam: Visual explanations from deep networks via gradient- based localization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.609035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 334692ea-6ccc-4ef7-8183-a94911cce4e3 · outbound

This paper cites Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.598567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f80e671-113d-4a27-83e0-5b16121731b2 · outbound

This paper cites A general framework for adversarial ex- amples with objectives.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization A general framework for adversarial ex- amples with objectives

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.588781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ad5f2dd-f9a6-4ef8-86f8-91378594a931 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.236010Z

Source-reported events for the cited work

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Observation 7f3193fe-fe52-4f80-a6c2-06657c10d0b8 · outbound

This paper cites Intriguing properties of neural networks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Intriguing properties of neural networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.239599Z

Source-reported events for the cited work

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Observation 042dd1a1-b454-4fd4-b128-4401f8c54d4d · outbound

This paper cites Jedi: entropy-based localization and removal of adversarial patches.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Jedi: entropy-based localization and removal of adversarial patches

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.577870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5971908d-e759-4d83-af38-6c56fe5047dc · outbound

This paper cites Guided Diffusion Model for Adversarial Purification.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Guided Diffusion Model for Adversarial Purification

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:05.246199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9d7d99-7724-4a7e-b43c-3670910704ad · outbound

This paper cites Generating Visually Realistic Adversarial Patch.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Generating Visually Realistic Adversarial Patch

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:02:05.323915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33270bd5-cf97-443f-b362-7aff7daf8024 · outbound

This paper cites A universal image quality index.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization A universal image quality index

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.568001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78b34c76-dbb8-4b4c-a085-1f1d59b48ca0 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Image quality assessment: from error visibility to structural similarity

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.558099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7d579ed-de42-4dbd-89c5-284b20c65545 · outbound

This paper cites Privacy-preserving adversarial facial features.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Privacy-preserving adversarial facial features

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.547636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4161b82-f911-4591-858c-68264d2d69eb · outbound

This paper cites Patchguard++: Efficient provable attack detection against adversarial patches, 2021.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Patchguard++: Efficient provable attack detection against adversarial patches, 2021

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.537589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d965048-9686-4749-ae0e-093211d71678 · outbound

This paper cites Densepure: Understanding diffusion models for adversarial robustness.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Densepure: Understanding diffusion models for adversarial robustness

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.527593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b73a1066-a902-4348-b8a8-5a6b3a214a5b · outbound

This paper cites Patchzero: Defending against adversarial patch at- tacks by detecting and zeroing the patch.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Patchzero: Defending against adversarial patch at- tacks by detecting and zeroing the patch

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.517128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b8fdc49d-a8f3-4563-bcd8-328ce302da6a · outbound

This paper cites Visualizing and un- derstanding convolutional networks.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Visualizing and un- derstanding convolutional networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.506635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6030ad09-3b94-40b0-9ae4-94ed7e8499b5 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization The unreasonable effectiveness of deep features as a perceptual metric

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.496718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 490bde89-7e2c-4dac-8695-16ca84298333 · outbound

This paper cites The translucent patch: A physical and universal attack on object detectors.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization The translucent patch: A physical and universal attack on object detectors

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.486339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9ff3bf6-de3e-4bdf-84b9-b30051d54f3c · outbound

This paper cites Toaster” class to include “Baseball.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Toaster” class to include “Baseball

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:02:05.476133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cab95ced-b4d6-471c-9424-016c09b08aae · outbound

This paper cites A. J. Buckley.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization A. J. Buckley

Reference 56

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:02:05.466187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers